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Suicide Risk Analysis

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Book cover Mental Health Informatics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 491))

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Abstract

This study explores the trends and patterns in suicide risk factors using data mining techniques. Medical records of 666 suicide attempters who were admitted to a teaching hospital from January 2004 to December 2006 were studied. Data mining techniques revealed hidden patterns for repeated and single attempters, as well as suicide precipitants and risk factors. The findings have implications for further research in suicide assessment and intervention.

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Author information

Authors and Affiliations

  1. School of Engineering, Health, Science and Environment, Charles Darwin University, Darwin, Australia

    Carol Choo

  2. School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, 4072, Australia

    Joachim Diederich

  3. Singapore Campus, Singapore, 574421, Singapore

    Insu Song

  4. Department of Psychological Medicine, National University Hospital, Singapore, Singapore

    Roger Ho

Authors
  1. Carol Choo
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  2. Joachim Diederich
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  3. Insu Song
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  4. Roger Ho
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Corresponding author

Correspondence to Carol Choo .

Editor information

Editors and Affiliations

  1. Computer Engineering, RMIT University School of Electrical and, Melbourne, Victoria, Australia

    Margaret Lech

  2. Singapore Campus, James Cook University Australia, School of Business and IT, Singapore, Singapore

    Insu Song

  3. Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, California, USA

    Peter Yellowlees

  4. Psychology Network Pty Ltd, Brisbane, Australia

    Joachim Diederich

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Choo, C., Diederich, J., Song, I., Ho, R. (2014). Suicide Risk Analysis. In: Lech, M., Song, I., Yellowlees, P., Diederich, J. (eds) Mental Health Informatics. Studies in Computational Intelligence, vol 491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38550-6_12

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  • DOI: https://doi.org/10.1007/978-3-642-38550-6_12

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38549-0

  • Online ISBN: 978-3-642-38550-6

  • eBook Packages: EngineeringEngineering (R0)

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